Machine Learning and Deep Learning for Multisensor Data Fusion and Integration

Dear Colleagues,

Multisensor tools, e.g., intelligent vision and autonomous navigation, have been increasingly applied in unmanned equipment, wherein sensor data fusion is a key issue. Many theories, methods and techniques have been developed to confront this challenge in recent years. Deep learning and metaheuristic optimization may promote the application of machine learning in image and speech recognition. However, data fusion and analysis methods must be further studied. This Special Issue discusses the relative design and analysis of learning networks and algorithms of deep learning for multisensor data fusion with applications in unmanned equipment. Topics of interest for publication include, but are not limited to:

• Multisensor fusion theory;
• Deep learning networks for multisensor tools;
• Machine learning for multisensor tools;
• Sensor signal processing for unmanned equipment.

Prof. Dr. Jeng-Shyang Pan
Guest Editor

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